After studying the optimal dispatching strategy of active distribution network and the composition and characteristics of the energy storage system, an active distribution network scheduling strategy with considering the distributed generation and energy storage system is proposed. The power difference control strategy improved by the similarity method is adopted to control the charging and discharging of the energy storage system. The proposed optimization scheduling strategy is solved by an improved particle swarm optimization algorithm, thus the Pareto solutions of multi-objective optimization problems are gained. Then, the optimal active distribution network scheduling strategy is obtained by using entropy weight decision method to evaluate these Pareto solutions. Finally, the rationality of the optimized scheduling strategy and the effectiveness of the algorithm are verified by using a specific example.